ROBOTNESS
Research

Papers

New robotics and physical-AI papers, with what each one means for the industry.

1 papers
arXiv
Co-speech HumanoidIntermediate

ECHO-G: Embodied Co-speech Humanoid mOtion Generation

Yizhao Li, Pusen Gao, Ming Wang, Shaojie Shen, Shuo Yang, Hao Xu

ECHO-G is a preprint framework that generates full-body speech-synchronized motion for humanoid robots from audio and timed transcripts. It models motion directly in robot space with a Speech-Grounded Diffusion Transformer and reports a Fréchet Gesture Distance of 2.278 versus 4.976 for EMAGE+GMR, with 5.96 ms/frame inference time. This matters for making expressive, deployable co-speech gestures on humanoids without human-motion retargeting.

Topic pages

Papers come from arXiv robotics feeds. Where our summary is not written yet, you see the opening lines of the abstract.